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Imbalanced Regression on NYUD2-DIR Many-shot 1.0

0.589RMSEVIR
0.584440.615220.6460.67678Jun 11, 2023

Evaluation results

MethodLinks
VIRweighting=SQINV2023.060.5890.0678.196.699.3
VANILLAweighting=SQINV2023.060.5910.06677.795.699
INFER NOISEweighting=SQINV2023.060.5940.06976.894.998.3
DEEP ENSEMBLEweighting=SQINV2023.060.5950.06778.296.199.3
VAEweighting=SQINV2023.060.5960.06277.495.198.2
DERweighting=SQINV2023.060.6150.08964.790.497.4
FDSweighting=SQINV2023.060.6150.0697695.298.9
LDS + FDSweighting=SQINV2023.060.670.0747393.998.4
LDSweighting=SQINV2023.060.6710.07970.193.298.4
LDS + FDS + DERweighting=SQINV2023.060.7030.08167.791.297.6